Popular GitHub Repositories for Successor Representation

Transfer learning / domain adaptation / domain generalization / multi-task learning etc. Papers, codes, datasets, applications, tutorials.-迁移学习

Reading list for research topics in multimodal machine learning

Chinese version of CLIP which achieves Chinese cross-modal retrieval and representation generation.

links to conference publications in graph-based deep learning

A collection of important graph embedding, classification and representation learning papers with implementations.

papers about Face Detection; Face Alignment; Face Recognition && Face Identification && Face Verification && Face Representation; Face Reconstruction; Face Tracking; Face Super-Resolution && Face Deblurring; Face Generation && Face Synthesis; Face Transfer; Face Anti-Spoofing; Face Retrieval;

Official implementation of "Neuralangelo: High-Fidelity Neural Surface Reconstruction" (CVPR 2023)

The project is an official implementation of our CVPR2019 paper "Deep High-Resolution Representation Learning for Human Pose Estimation"

Simple command line tool for text to image generation using OpenAI's CLIP and Siren (Implicit neural representation network). Technique was originally created by https://twitter.com/advadnoun

【EMNLP 2024?】Video-LLaVA: Learning United Visual Representation by Alignment Before Projection

Text preprocessing, representation and visualization from zero to hero.

[ICRA'23] BEVFusion: Multi-Task Multi-Sensor Fusion with Unified Bird's-Eye View Representation

Repository for benchmarking graph neural networks (JMLR 2023)

PyTorch implementation of SimCLR: A Simple Framework for Contrastive Learning of Visual Representations

Datasets, tools, and benchmarks for representation learning of code.

A curated list of pretrained sentence and word embedding models

Large Concept Models: Language modeling in a sentence representation space

Python library for Representation Learning on Knowledge Graphs https://docs.ampligraph.org

The implementation of DeBERTa

OpenSPG is a Knowledge Graph Engine developed by Ant Group in collaboration with OpenKG, based on the SPG (Semantic-enhanced Programmable Graph) framework. Core Capabilities: 1) domain model constrained knowledge modeling, 2) facts and logic fused representation, 3) natively support KAG...